chore: release v0.7.0

- baoyu-comic: adds --aspect (3:4, 4:3, 16:9) and --lang options; multi-variant storyboard workflow
- baoyu-comic/baoyu-slide-deck: adds analysis-framework and template references
- Multiple skills: restructured SKILL.md, moved details to references/

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Jim Liu 宝玉
2026-01-17 15:03:43 -06:00
parent bb4f0dc52c
commit 080f2eff48
16 changed files with 1648 additions and 364 deletions
+107 -6
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@@ -125,7 +125,11 @@ path/to/
1. Read article content
2. If `--style` specified, use that style
3. Otherwise, scan for style signals and auto-select
4. Extract key information:
4. **Language detection**:
- Detect **source language** from article content
- Detect **user language** from conversation context
- Note if source_language ≠ user_language (will ask in Step 4)
5. Extract key information:
- Main topic and themes
- Core messages per section
- Abstract concepts needing visualization
@@ -173,10 +177,55 @@ path/to/
...
```
### Step 4: Create Prompt Files
### Step 4: Review & Confirm
**Purpose**: Let user confirm all options in a single step before image generation.
**IMPORTANT**: Present ALL options in a single confirmation step using AskUserQuestion. Do NOT interrupt workflow with multiple separate confirmations.
1. **Generate 3 style variants**:
- Analyze content to select 3 most suitable styles
- Generate complete illustration plan for each style variant
- Save as `outline-{style}.md` (e.g., `outline-notion.md`, `outline-tech.md`, `outline-warm.md`)
2. **Determine which questions to ask**:
| Question | When to Ask |
|----------|-------------|
| Style variant | Always (required) |
| Language | Only if `source_language ≠ user_language` |
3. **Present options** (use AskUserQuestion with all applicable questions):
**Question 1 (Style)** - always:
- Style A (recommended): [style name] - [brief description]
- Style B: [style name] - [brief description]
- Style C: [style name] - [brief description]
- Custom: Provide custom style reference
**Question 2 (Language)** - only if source ≠ user language:
- [Source language] (matches article language)
- [User language] (your preference)
**Language handling**:
- If source language = user language: Just inform user (e.g., "Prompts will be in Chinese")
- If different: Ask which language to use for prompts
4. **Apply selection**:
- Copy selected `outline-{style}.md` to `outline.md`
- If custom style provided, generate new plan with that style
- If different language selected, regenerate outline in that language
- User may edit `outline.md` directly for fine-tuning
- If modified, reload plan before proceeding
5. **Proceed only after explicit user confirmation**
### Step 5: Create Prompt Files
Save prompts to `prompts/` directory with style-specific details.
**All prompts are written in the user's confirmed language preference.**
**Prompt Format**:
```markdown
@@ -199,7 +248,7 @@ Text content (if any):
Style notes: [specific style characteristics]
```
### Step 5: Generate Images
### Step 6: Generate Images
**Image Generation Skill Selection**:
1. Check available image generation skills
@@ -212,7 +261,7 @@ Style notes: [specific style characteristics]
4. On failure, auto-retry once
5. If retry fails, log reason, continue to next
### Step 6: Update Article
### Step 7: Update Article
Insert generated images at corresponding positions:
@@ -225,7 +274,7 @@ Insert generated images at corresponding positions:
- Leave one blank line before and after image
- Alt text uses concise description in article's language
### Step 7: Output Summary
### Step 8: Output Summary
```
Article Illustration Complete!
@@ -244,6 +293,57 @@ Failed:
- illustration-zzz.png: [failure reason]
```
## Illustration Modification
Support for modifying individual illustrations after initial generation.
### Edit Single Illustration
Regenerate a specific illustration with modified prompt:
1. Identify illustration to edit (e.g., `illustration-concept-overview.png`)
2. Update prompt in `prompts/illustration-concept-overview.md` if needed
3. If content changes significantly, update slug in filename
4. Regenerate image
5. Update article if image reference changed
### Add New Illustration
Add a new illustration to the article:
1. Identify insertion position in article
2. Create new prompt with appropriate slug (e.g., `illustration-new-concept.md`)
3. Generate new illustration image
4. Update `outline.md` with new illustration entry
5. Insert image reference in article at the specified position
### Delete Illustration
Remove an illustration from the article:
1. Identify illustration to delete (e.g., `illustration-concept-overview.png`)
2. Remove image file and prompt file
3. Remove image reference from article
4. Update `outline.md` to remove illustration entry
### File Naming Convention
Files use meaningful slugs for better readability:
```
illustration-[slug].png
illustration-[slug].md (in prompts/)
```
Examples:
- `illustration-concept-overview.png`
- `illustration-workflow-diagram.png`
- `illustration-key-benefits.png`
**Slug rules**:
- Derived from illustration purpose/content (kebab-case)
- Must be unique within the article
- When content changes significantly, update slug accordingly
## Style Reference Details
### elegant
@@ -325,4 +425,5 @@ Typography: Clean hand-drawn lettering, simple sans-serif labels
- Maintain selected style consistency across all illustrations in one article
- Image generation typically takes 10-30 seconds per image
- Sensitive figures should use cartoon alternatives
- Prompt and illustration text language should match article language
- Prompts written in user's confirmed language preference
- Illustration text (labels, captions) should match article language
+266 -52
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@@ -11,7 +11,6 @@ Create original knowledge comics with multiple visual styles.
```bash
/baoyu-comic posts/turing-story/source.md
/baoyu-comic posts/turing-story/source.md --style dramatic --layout cinematic
/baoyu-comic # then paste content
```
@@ -19,10 +18,14 @@ Create original knowledge comics with multiple visual styles.
| Option | Values |
|--------|--------|
| `--style` | classic (default), dramatic, warm, tech, sepia, vibrant, ohmsha, realistic |
| `--style` | classic (default), dramatic, warm, tech, sepia, vibrant, ohmsha, realistic, or custom description |
| `--layout` | standard (default), cinematic, dense, splash, mixed, webtoon |
| `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) |
| `--lang` | auto (default), zh, en, ja, etc. |
Style × Layout can be freely combined.
Style × Layout × Aspect can be freely combined. Custom styles can be described in natural language.
**Aspect ratio is consistent across all pages in a comic.**
## Auto Selection
@@ -54,15 +57,29 @@ Style × Layout can be freely combined.
```
[target]/
├── outline.md
├── characters/
│ ├── characters.md # Character definitions
│ └── characters.png # Character reference sheet
├── source.md # Source content (if pasted, not file)
├── analysis.md # Deep analysis results (YAML+MD)
├── storyboard-chronological.md # Variant A (preserved)
├── storyboard-thematic.md # Variant B (preserved)
├── storyboard-character.md # Variant C (preserved)
├── characters-chronological/ # Variant A chars (preserved)
│ ├── characters.md
│ └── characters.png
├── characters-thematic/ # Variant B chars (preserved)
│ ├── characters.md
│ └── characters.png
├── characters-character/ # Variant C chars (preserved)
│ ├── characters.md
│ └── characters.png
├── storyboard.md # Final selected
├── characters/ # Final selected
│ ├── characters.md
│ └── characters.png
├── prompts/
│ ├── 00-cover.md
│ └── XX-page.md
├── 00-cover.png
├── XX-page.png
│ ├── 00-cover-[slug].md
│ └── NN-page-[slug].md
├── 00-cover-[slug].png
├── NN-page-[slug].png
└── {topic-slug}.pdf
```
@@ -72,91 +89,287 @@ Style × Layout can be freely combined.
## Workflow
### Step 1: Analyze Content
### Step 1: Analyze Content → `analysis.md`
1. Read source content
2. Select style (from `--style` or auto-detect)
3. Select layout (from `--layout` or auto-detect per page)
4. Determine page count:
Read source content, save it if needed, and perform deep analysis.
**Actions**:
1. **Save source content** (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to `source.md` in target directory
2. Read source content
3. **Deep analysis** following `references/analysis-framework.md`:
- Target audience identification
- Value proposition for readers
- Core themes and narrative potential
- Key figures and their story arcs
4. Detect source language
5. Determine recommended page count:
- Short story: 5-8 pages
- Medium complexity: 9-15 pages
- Full biography: 16-25 pages
6. Analyze content signals for style/layout recommendations
7. **Save to `analysis.md`**
### Step 2: Define Characters
**analysis.md Format**:
**Purpose**: Establish visual consistency across all pages.
```yaml
---
title: "Alan Turing: Father of Computing"
topic: Biography
time_span: 1912-1954
source_language: en
user_language: zh
aspect_ratio: "3:4"
recommended_page_count: 12
---
1. Extract all characters from content (protagonist, supporting, antagonist, narrator)
2. Create `characters/characters.md` with visual specs for each character
3. Generate `characters/characters.png` (character reference sheet)
## Target Audience
**Reference**: `references/character-template.md` for detailed format and examples.
- **Primary**: Tech enthusiasts curious about computing history
- **Secondary**: Students learning about scientific breakthroughs
- **Tertiary**: General readers interested in biographical stories
### Step 3: Generate Outline
## Value Proposition
Create `outline.md` with:
- Metadata (title, style, layout, page count, character reference path)
- Cover design
- Each page: layout, panel breakdown, visual prompts
What readers will gain:
1. Understanding of how modern computing was born
2. Emotional connection to a brilliant but tragic figure
3. Appreciation for the human cost of innovation
**Reference**: `references/outline-template.md` for detailed format.
## Core Themes
| Theme | Narrative Potential | Visual Opportunity |
|-------|--------------------|--------------------|
| Genius vs. Society | High conflict, dramatic arcs | Contrast scenes |
| Code-breaking | Mystery, tension | Technical diagrams as art |
| Personal tragedy | Emotional depth | Intimate, somber panels |
## Key Figures & Story Arcs
### Alan Turing (Protagonist)
- **Arc**: Misunderstood genius → War hero → Tragic end
- **Visual identity**: Disheveled academic, intense eyes
- **Key moments**: Enigma breakthrough, arrest, final days
### Christopher Morcom (Catalyst)
- **Role**: Early friend whose death shaped Turing
- **Visual identity**: Youthful, bright
- **Key moments**: School friendship, sudden death
## Content Signals
- "biography" → classic + mixed
- "computing history" → tech + dense
- "personal tragedy" → dramatic + splash
## Recommended Approaches
1. **Chronological** - follow life timeline (recommended for biography)
2. **Thematic** - organize by contributions (good for educational focus)
3. **Character-focused** - relationships drive narrative (good for emotional impact)
```
### Step 2: Generate 3 Storyboard Variants
Create three distinct variants, each combining a narrative approach with a recommended style.
| Variant | Narrative Approach | Recommended Style | Layout |
|---------|-------------------|-------------------|--------|
| A | Chronological | sepia | cinematic |
| B | Thematic | tech | dense |
| C | Character-focused | warm | standard |
**For each variant**:
1. **Generate storyboard** (`storyboard-{approach}.md`):
- YAML front matter with narrative_approach, recommended_style, recommended_layout, aspect_ratio
- Cover design
- Each page: layout, panel breakdown, visual prompts
- **Written in user's preferred language**
- Reference: `references/storyboard-template.md`
2. **Generate matching characters** (`characters-{approach}/`):
- `characters.md` - visual specs matching the recommended style (in user's preferred language)
- `characters.png` - character reference sheet
- Reference: `references/character-template.md`
**All variants are preserved after selection for reference.**
### Step 3: User Confirms All Options
**IMPORTANT**: Present ALL options in a single confirmation step using AskUserQuestion. Do NOT interrupt workflow with multiple separate confirmations.
**Determine which questions to ask**:
| Question | When to Ask |
|----------|-------------|
| Storyboard variant | Always (required) |
| Visual style | Always (required) |
| Language | Only if `source_language ≠ user_language` |
| Aspect ratio | Only if user might prefer non-default (e.g., landscape content) |
**Language handling**:
- If source language = user language: Just inform user (e.g., "Comic will be in Chinese")
- If different: Ask which language to use
**All storyboards and prompts are generated in the user's selected/preferred language.**
**Aspect ratio handling**:
- Default: 3:4 (portrait) - standard comic format
- Offer 4:3 (landscape) if content suits it (e.g., panoramic scenes, technical diagrams)
- Offer 16:9 (widescreen) for cinematic content
**AskUserQuestion format** (example with all questions):
```
Question 1 (Storyboard): Which storyboard variant?
- A: Chronological + sepia (Recommended)
- B: Thematic + tech
- C: Character-focused + warm
- Custom
Question 2 (Style): Which visual style?
- sepia (Recommended from variant)
- classic / dramatic / warm / tech / vibrant / ohmsha / realistic
- Custom description
Question 3 (Language) - only if mismatch:
- Chinese (source material language)
- English (your preference)
Question 4 (Aspect) - only if relevant:
- 3:4 Portrait (Recommended)
- 4:3 Landscape
- 16:9 Widescreen
```
**After confirmation**:
1. Copy selected storyboard → `storyboard.md`
2. Copy selected characters → `characters/`
3. Update YAML front matter with confirmed style, language, aspect_ratio
4. If style differs from variant's recommended: regenerate `characters/characters.png`
5. User may edit files directly for fine-tuning
### Step 4: Generate Images
For each page (cover + pages):
With confirmed storyboard + style + aspect ratio:
1. Save prompt to `prompts/XX-page.md`
2. Call image generation skill with:
- Base prompt: `references/base-prompt.md`
- Character reference (text or image, depending on skill capability)
- Page prompt
- Output path
**For each page (cover + pages)**:
1. Save prompt to `prompts/NN-{cover|page}-[slug].md` (in user's preferred language)
2. Generate image using confirmed style and aspect ratio
3. Report progress after each generation
**Image Generation Skill Selection**:
- Check available image generation skills in the environment
- Check available image generation skills
- If multiple skills available, ask user preference
**Character Reference Handling**:
- If skill supports reference image: pass `characters/characters.png` as reference image
- If skill does NOT support reference image: include `characters/characters.md` content in the prompt
- This ensures character visual consistency across all pages
- If skill supports reference image: pass `characters/characters.png`
- If skill does NOT support reference image: include `characters/characters.md` content in prompt
**Session Management**:
If the image generation skill supports `--sessionId`:
1. Generate a unique session ID at the start (e.g., `comic-{topic-slug}-{timestamp}`)
2. Use the same session ID for character sheet and all pages
3. This ensures visual consistency (character appearance, style) across all generated images
3. Report progress after each generation
If image generation skill supports `--sessionId`:
1. Generate unique session ID: `comic-{topic-slug}-{timestamp}`
2. Use same session ID for all pages
3. Ensures visual consistency across generated images
### Step 5: Merge to PDF
After all images are generated, merge them into a PDF file:
After all images generated:
```bash
npx -y bun ${SKILL_DIR}/scripts/merge-to-pdf.ts <comic-dir>
```
This creates `{topic-slug}.pdf` in the comic directory with all pages as full-page images.
Creates `{topic-slug}.pdf` with all pages as full-page images.
### Step 6: Completion Report
```
Comic Complete!
Title: [title] | Style: [style] | Pages: [count]
Title: [title] | Style: [style] | Pages: [count] | Aspect: [ratio] | Language: [lang]
Location: [path]
✓ analysis.md
✓ characters.png
✓ 00-cover.png ... XX-page.png
✓ 00-cover-[slug].png ... NN-page-[slug].png
✓ {topic-slug}.pdf
```
## Page Modification
Support for modifying individual pages after initial generation.
### Edit Single Page
Regenerate a specific page with modified prompt:
1. Identify page to edit (e.g., `03-page-enigma-machine.png`)
2. Update prompt in `prompts/03-page-enigma-machine.md` if needed
3. If content changes significantly, update slug in filename
4. Regenerate image using same session ID and aspect ratio
5. Regenerate PDF
### Add New Page
Insert a new page at specified position:
1. Specify insertion position (e.g., after page 3)
2. Create new prompt with appropriate slug (e.g., `04-page-bletchley-park.md`)
3. Generate new page image (same aspect ratio)
4. **Renumber files**: All subsequent pages increment NN by 1
- `04-page-tragedy.png``05-page-tragedy.png`
- Slugs remain unchanged
5. Update `storyboard.md` with new page entry
6. Regenerate PDF
### Delete Page
Remove a page and renumber:
1. Identify page to delete (e.g., `03-page-enigma-machine.png`)
2. Remove image file and prompt file
3. **Renumber files**: All subsequent pages decrement NN by 1
- `04-page-tragedy.png``03-page-tragedy.png`
- Slugs remain unchanged
4. Update `storyboard.md` to remove page entry
5. Regenerate PDF
### File Naming Convention
Files use meaningful slugs for better readability:
```
NN-cover-[slug].png / NN-page-[slug].png
NN-cover-[slug].md / NN-page-[slug].md (in prompts/)
```
Examples:
- `00-cover-turing-story.png`
- `01-page-early-life.png`
- `02-page-cambridge-years.png`
- `03-page-enigma-machine.png`
**Slug rules**:
- Derived from page title/content (kebab-case)
- Must be unique within the comic
- When page content changes significantly, update slug accordingly
**Renumbering**:
- After add/delete, update NN prefix for affected pages
- Slug remains unchanged unless content changes
- Maintain sequential numbering with no gaps
## Style-Specific Guidelines
### Ohmsha Style (`--style ohmsha`)
Additional requirements for educational manga:
- Default characters: Student (大雄), Mentor (哆啦A梦), Antagonist (胖虎)
- Custom: `--characters "Student:小明,Mentor:教授"`
- **Default: Use Doraemon characters directly** - No need to create new characters
- 大雄 (Nobita): Student role, curious learner
- 哆啦A梦 (Doraemon): Mentor role, explains concepts with gadgets
- 胖虎 (Gian): Antagonist/challenge role, represents obstacles or misconceptions
- 静香 (Shizuka): Supporting role, asks clarifying questions
- Custom characters only if explicitly requested: `--characters "Student:小明,Mentor:教授"`
- Must use visual metaphors (gadgets, action scenes) - NO talking heads
- Page titles: narrative style, not "Page X: Topic"
@@ -165,8 +378,9 @@ Additional requirements for educational manga:
## References
Detailed templates and guidelines in `references/` directory:
- `analysis-framework.md` - Deep content analysis for comic adaptation
- `character-template.md` - Character definition format and examples
- `outline-template.md` - Outline structure and panel breakdown
- `storyboard-template.md` - Storyboard structure and panel breakdown
- `ohmsha-guide.md` - Ohmsha manga style specifics
- `styles/` - Detailed style definitions
- `layouts/` - Detailed layout definitions
@@ -0,0 +1,152 @@
# Comic Content Analysis Framework
Deep analysis framework for transforming source content into effective visual storytelling.
## Purpose
Before creating a comic, thoroughly analyze the source material to:
- Identify the target audience and their needs
- Determine what value the comic will deliver
- Extract narrative potential for visual storytelling
- Plan character arcs and key moments
## Analysis Dimensions
### 1. Core Content (Understanding "What")
**Central Message**
- What is the single most important idea readers should take away?
- Can you express it in one sentence?
**Key Concepts**
- What are the essential concepts readers must understand?
- How should these concepts be visualized?
- Which concepts need simplified explanations?
**Content Structure**
- How is the source material organized?
- What is the natural narrative arc?
- Where are the climax and turning points?
**Evidence & Examples**
- What concrete examples, data, or stories support the main ideas?
- Which examples translate well to visual panels?
- What can be shown rather than told?
### 2. Context & Background (Understanding "Why")
**Source Origin**
- Who created this content? What is their perspective?
- What was the original purpose?
- Is there bias to be aware of?
**Historical/Cultural Context**
- When and where does the story take place?
- What background knowledge do readers need?
- What period-specific visual elements are required?
**Underlying Assumptions**
- What does the source assume readers already know?
- What implicit beliefs or values are present?
- Should the comic challenge or reinforce these?
### 3. Audience Analysis
**Primary Audience**
- Who will read this comic?
- What is their existing knowledge level?
- What are their interests and motivations?
**Secondary Audiences**
- Who else might benefit from this comic?
- How might their needs differ?
**Reader Questions**
- What questions will readers have?
- What misconceptions might they bring?
- What "aha moments" can we create?
### 4. Value Proposition
**Knowledge Value**
- What will readers learn?
- What new perspectives will they gain?
- How will this change their understanding?
**Emotional Value**
- What emotions should readers feel?
- What connections will they make with characters?
- What will make this memorable?
**Practical Value**
- Can readers apply what they learn?
- What actions might this inspire?
- What conversations might it spark?
### 5. Narrative Potential
**Story Arc Candidates**
- What natural narratives exist in the content?
- Where is the conflict or tension?
- What transformations occur?
**Character Potential**
- Who are the key figures?
- What are their motivations and obstacles?
- How do they change throughout?
**Visual Opportunities**
- What scenes have strong visual potential?
- Where can abstract concepts become concrete images?
- What metaphors can be visualized?
**Dramatic Moments**
- What are the breakthrough/revelation moments?
- Where are the emotional peaks?
- What creates tension and release?
### 6. Adaptation Considerations
**What to Keep**
- Essential facts and ideas
- Key quotes or moments
- Core emotional beats
**What to Simplify**
- Complex explanations
- Dense technical details
- Lengthy descriptions
**What to Expand**
- Brief mentions that deserve more attention
- Implied emotions or relationships
- Visual details not in source
**What to Omit**
- Tangential information
- Redundant examples
- Content that doesn't serve the narrative
## Output Format
Analysis results should be saved to `analysis.md` with:
1. **YAML Front Matter**: Metadata (title, topic, time_span, languages, aspect_ratio, page_count)
2. **Target Audience**: Primary, secondary, tertiary audiences with their needs
3. **Value Proposition**: What readers will gain (knowledge, emotional, practical)
4. **Core Themes**: Table with theme, narrative potential, visual opportunity
5. **Key Figures & Story Arcs**: Character profiles with arcs, visual identity, key moments
6. **Content Signals**: Style and layout recommendations based on content type
7. **Recommended Approaches**: Narrative approaches ranked by suitability
## Analysis Checklist
Before proceeding to storyboard:
- [ ] Can I state the core message in one sentence?
- [ ] Do I know exactly who will read this comic?
- [ ] Have I identified at least 3 ways this comic provides value?
- [ ] Are there clear protagonists with compelling arcs?
- [ ] Have I found at least 5 visually powerful moments?
- [ ] Do I understand what to keep, simplify, expand, and omit?
- [ ] Have I identified the emotional peaks and valleys?
@@ -1,23 +1,30 @@
# Outline Template
# Storyboard Template
## Outline Document Format
## Storyboard Document Format
```markdown
# [Comic Title] - Knowledge Comic Outline
---
title: "[Comic Title]"
topic: "[topic description]"
time_span: "[e.g., 1912-1954]"
narrative_approach: "[chronological/thematic/character-focused]"
recommended_style: "[style name]"
recommended_layout: "[layout name or varies]"
aspect_ratio: "3:4" # 3:4 (portrait), 4:3 (landscape), 16:9 (widescreen)
language: "[zh/en/ja/etc.]"
page_count: [N]
generated: "YYYY-MM-DD HH:mm"
---
# [Comic Title] - Knowledge Comic Storyboard
**Topic**: [topic description]
**Time Span**: [e.g., 1912-1954]
**Style**: [selected style]
**Default Layout**: [selected layout or "varies"]
**Page Count**: Cover + N pages
**Character Reference**: characters/characters.png
**Generated**: YYYY-MM-DD HH:mm
---
## Cover
**Filename**: 00-cover.png
**Filename**: 00-cover-[slug].png
**Core Message**: [one-liner]
**Visual Design**:
@@ -33,7 +40,7 @@
## Page 1 / N
**Filename**: 01-page.png
**Filename**: 01-page-[slug].png
**Layout**: [standard/cinematic/dense/splash/mixed]
**Narrative Layer**: [Main narrative / Narrator layer / Mixed]
**Core Message**: [What this page conveys]
+2 -2
View File
@@ -37,7 +37,7 @@ function findComicPages(dir: string): PageInfo[] {
}
const files = readdirSync(dir);
const pagePattern = /^(\d+)-(cover|page)\.(png|jpg|jpeg)$/i;
const pagePattern = /^(\d+)-(cover|page)(-[\w-]+)?\.(png|jpg|jpeg)$/i;
const promptsDir = join(dir, "prompts");
const hasPrompts = existsSync(promptsDir);
@@ -59,7 +59,7 @@ function findComicPages(dir: string): PageInfo[] {
if (pages.length === 0) {
console.error(`No comic pages found in: ${dir}`);
console.error("Expected format: 00-cover.png, 01-page.png, etc.");
console.error("Expected format: 00-cover-slug.png, 01-page-slug.png, etc.");
process.exit(1);
}
+86 -24
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@@ -38,6 +38,8 @@ Generate hand-drawn style cover images for articles with multiple style options.
| Option | Description |
|--------|-------------|
| `--style <name>` | Specify cover style (see Style Gallery below) |
| `--aspect <ratio>` | Aspect ratio: 2.35:1 (cinematic, default), 16:9 (widescreen), 1:1 (social) |
| `--lang <code>` | Output language for title text (en, zh, ja, etc.) |
| `--no-title` | Generate cover without title text (visual only) |
## Style Gallery
@@ -85,34 +87,86 @@ path/to/
└── cover.png
```
### Without Article Path
### Without Article Path (Pasted Content)
Save to current working directory:
Save to `cover-outputs/YYYY-MM-DD/[topic-slug]/`:
```
./
── cover-prompt.md
└── cover.png
cover-outputs/
── 2026-01-17/
└── ai-future/
├── source.md # Saved pasted content
├── prompts/
│ └── cover.md
└── cover.png
```
## Workflow
### Step 1: Analyze Content
Extract key information:
- **Main topic**: What is the article about?
- **Core message**: What's the key takeaway?
- **Tone**: Serious, playful, inspiring, educational?
- **Keywords**: Identify style-signaling words
1. **Save source content** (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to `source.md` in target directory
### Step 2: Select Style
2. **Extract key information**:
- **Main topic**: What is the article about?
- **Core message**: What's the key takeaway?
- **Tone**: Serious, playful, inspiring, educational?
- **Keywords**: Identify style-signaling words
If `--style` specified, use that style. Otherwise:
1. Scan content for style signals (see Auto Style Selection table)
2. Match signals to most appropriate style
3. Default to `elegant` if no clear signals
3. **Language detection**:
- Detect **source language** from content
- Detect **user language** from conversation context
- Note if source_language ≠ user_language (will ask in Step 3)
### Step 3: Generate Cover Concept
### Step 2: Determine Options
1. **Style selection**:
- If `--style` specified, use that style
- Otherwise, scan content for style signals and auto-select 3 candidates
- Default to `elegant` if no clear signals
2. **Aspect ratio**:
- If `--aspect` specified, use that ratio
- Otherwise, prepare options: 2.35:1 (cinematic), 16:9 (widescreen), 1:1 (social)
### Step 3: Confirm Options
**Purpose**: Let user confirm all options in a single step before generation.
**IMPORTANT**: Present ALL options in a single confirmation step using AskUserQuestion. Do NOT interrupt workflow with multiple separate confirmations.
**Determine which questions to ask**:
| Question | When to Ask |
|----------|-------------|
| Style | Always (required) |
| Aspect ratio | Always (offer common options) |
| Language | Only if `source_language ≠ user_language` |
**Present options** (use AskUserQuestion with all applicable questions):
**Question 1 (Style)** - always:
- Style A (recommended): [style name] - [brief description]
- Style B: [style name] - [brief description]
- Style C: [style name] - [brief description]
- Custom: Provide custom style reference
**Question 2 (Aspect)** - always:
- 2.35:1 Cinematic (Recommended) - ultra-wide, dramatic
- 16:9 Widescreen - standard video/presentation
- 1:1 Square - social media optimized
**Question 3 (Language)** - only if source ≠ user language:
- [Source language] (matches content)
- [User language] (your preference)
**Language handling**:
- If source language = user language: Just inform user (e.g., "Title will be in Chinese")
- If different: Ask which language to use for title text
### Step 4: Generate Cover Concept
Create a cover image concept based on selected style:
@@ -126,21 +180,26 @@ Create a cover image concept based on selected style:
- 1-2 symbolic elements representing the topic
- Metaphors or analogies that fit the style
### Step 4: Create Prompt File
### Step 5: Create Prompt File
Save prompt to `prompts/cover.md` with confirmed options.
**All prompts are written in the user's confirmed language preference.**
**Prompt Format**:
```markdown
Cover theme: [topic in 2-3 words]
Style: [selected style name]
Aspect ratio: [confirmed aspect ratio]
[If title included:]
Title text: [8 characters or less, in content language]
Subtitle: [optional, in content language]
Title text: [8 characters or less, in confirmed language]
Subtitle: [optional, in confirmed language]
Visual composition:
- Main visual: [description matching style]
- Layout: [positioning based on title inclusion]
- Layout: [positioning based on title inclusion and aspect ratio]
- Decorative elements: [style-appropriate elements]
Color scheme:
@@ -154,23 +213,25 @@ Style notes: [specific style characteristics to emphasize]
Note: No title text, pure visual illustration only.
```
### Step 5: Generate Image
### Step 6: Generate Image
**Image Generation Skill Selection**:
1. Check available image generation skills
2. If multiple skills available, ask user to choose
**Generation**:
Call selected image generation skill with prompt file and output path.
Call selected image generation skill with prompt file, output path, and confirmed aspect ratio.
### Step 6: Output Summary
### Step 7: Output Summary
```
Cover Image Generated!
Topic: [topic]
Style: [style name]
Aspect: [aspect ratio]
Title: [cover title] (or "No title - visual only")
Language: [confirmed language]
Location: [output path]
Preview the image to verify it matches your expectations.
@@ -183,4 +244,5 @@ Preview the image to verify it matches your expectations.
- Visual metaphors work better than literal representations
- Maintain style consistency throughout the cover
- Image generation typically takes 10-30 seconds
- Title text language should match content language
- Title text uses user's confirmed language preference
- Aspect ratio: 2.35:1 for cinematic/dramatic, 16:9 for widescreen, 1:1 for social media
+72 -260
View File
@@ -10,31 +10,13 @@ Transform content into professional slide deck images with flexible style option
## Usage
```bash
# Auto-select style based on content
/baoyu-slide-deck path/to/content.md
# Specify a style
/baoyu-slide-deck path/to/content.md --style sketch-notes
/baoyu-slide-deck path/to/content.md --style minimal
# Target specific audience
/baoyu-slide-deck path/to/content.md --audience executives
# Set output language
/baoyu-slide-deck path/to/content.md --lang zh
# Limit slide count
/baoyu-slide-deck path/to/content.md --slides 10
# Generate outline only (skip image generation)
/baoyu-slide-deck path/to/content.md --outline-only
# Direct content input
/baoyu-slide-deck
[paste content]
# Combine options
/baoyu-slide-deck path/to/content.md --style storytelling --audience experts --slides 15
/baoyu-slide-deck # Then paste content
```
## Script Directory
@@ -58,7 +40,7 @@ Transform content into professional slide deck images with flexible style option
|--------|-------------|
| `--style <name>` | Visual style (see Style Gallery) |
| `--audience <type>` | Target audience: beginners, intermediate, experts, executives, general |
| `--lang <code>` | Output language for prompts and slides (en, zh, ja, etc.) |
| `--lang <code>` | Output language (en, zh, ja, etc.) |
| `--slides <number>` | Target slide count |
| `--outline-only` | Generate outline only, skip image generation |
@@ -66,33 +48,31 @@ Transform content into professional slide deck images with flexible style option
| Style | Description | Best For |
|-------|-------------|----------|
| `sketch-notes` | Hand-drawn sketch notes, warm & friendly | Educational, tutorials, knowledge sharing |
| `blueprint` | Technical blueprint, precise & analytical | Architecture, system design, data analysis |
| `bold-editorial` | Magazine editorial, high-impact & dynamic | Product launches, marketing, keynotes |
| `vector-illustration` | Flat vector with black outlines, retro & cute | Creative proposals, children's content, brand showcases |
| `minimal` | Ultra-clean, maximum whitespace | Executive briefings, keynotes, premium brands |
| `storytelling` | Cinematic, full-bleed visuals | Narratives, case studies, emotional impact |
| `warm` | Soft gradients, wellness aesthetic | Lifestyle, wellness, personal development |
| `notion` (Default) | SaaS dashboard, clean data focus | Product demos, SaaS, productivity tools |
| `corporate` | Navy/gold, professional business | Investor decks, client proposals, quarterly reports |
| `playful` | Vibrant colors, dynamic rounded shapes | Workshops, training, creative pitches |
Detailed style definitions: `references/styles/<style>.md`
| `sketch-notes` | Hand-drawn, warm & friendly | Educational, tutorials |
| `blueprint` | Technical, precise & analytical | Architecture, system design |
| `bold-editorial` | Magazine, high-impact & dynamic | Product launches, keynotes |
| `vector-illustration` | Flat vector, retro & cute | Creative, children's content |
| `minimal` | Ultra-clean, maximum whitespace | Executive briefings, premium |
| `storytelling` | Cinematic, full-bleed visuals | Narratives, case studies |
| `warm` | Soft gradients, wellness aesthetic | Lifestyle, personal development |
| `notion` (Default) | SaaS dashboard, clean data focus | Product demos, productivity |
| `corporate` | Navy/gold, professional | Investor decks, proposals |
| `playful` | Vibrant, dynamic shapes | Workshops, training |
## Auto Style Selection
| Content Signals | Selected Style |
|-----------------|----------------|
| tutorial, learn, education, guide, intro, beginner | `sketch-notes` |
| architecture, system, data, analysis, technical, engineering | `blueprint` |
| launch, marketing, brand, keynote, impact, showcase | `bold-editorial` |
| creative, children, kids, cute, illustration, retro | `vector-illustration` |
| architecture, system, data, analysis, technical | `blueprint` |
| launch, marketing, brand, keynote, impact | `bold-editorial` |
| creative, children, kids, cute, illustration | `vector-illustration` |
| executive, minimal, clean, simple, elegant | `minimal` |
| story, journey, case study, narrative, emotional | `storytelling` |
| wellness, lifestyle, personal, growth, mindfulness | `warm` |
| saas, product, dashboard, metrics, productivity | `notion` |
| investor, quarterly, business, corporate, proposal, client | `corporate` |
| workshop, training, fun, playful, energetic, team | `playful` |
| investor, quarterly, business, corporate, proposal | `corporate` |
| workshop, training, fun, playful, energetic | `playful` |
| Default | `notion` |
## Design Philosophy
@@ -106,214 +86,82 @@ This deck is designed for **reading and sharing**, not live presentation:
## File Management
### With Content Path
Save to `slide-deck/` subdirectory in the same folder as the content:
```
content-dir/
├── source-content.md
└── slide-deck/
├── outline.md
├── prompts/
── 01-slide-cover.md
├── 02-slide-{slug}.md
│ └── ...
├── 01-slide-cover.png
├── 02-slide-{slug}.png
├── ...
── 01-slide-cover.md, 02-slide-{slug}.md, ...
├── 01-slide-cover.png, 02-slide-{slug}.png, ...
├── {topic-slug}.pptx
└── {topic-slug}.pdf
```
### Without Content Path
Save to `slide-outputs/YYYY-MM-DD/[topic-slug]/`:
### Without Content Path (Pasted Content)
```
slide-outputs/
── 2026-01-17/
└── ai-future-trends/
├── outline.md
├── prompts/
│ ├── 01-slide-cover.md
│ └── ...
├── 01-slide-cover.png
├── ...
├── ai-future-trends.pptx
└── ai-future-trends.pdf
slide-outputs/YYYY-MM-DD/{topic-slug}/
── source.md
├── outline.md
├── prompts/
├── *.png
├── {topic-slug}.pptx
└── {topic-slug}.pdf
```
## Workflow
### Step 1: Analyze Content & Determine Settings
### Step 1: Analyze Content
1. Read source material
2. **Style selection**:
- If `--style` specified, use that style
- Otherwise, scan for style signals and auto-select
3. **Language detection**:
- If `--lang` specified, use that language for all prompts and slide text
- Otherwise, detect language from source material
- If uncertain (mixed languages or unclear), ask user to confirm
4. **Slide count**:
- If `--slides` specified, use that count
- Otherwise, dynamic based on content structure
1. Save source content (if pasted, save as `source.md`)
2. Follow `references/analysis-framework.md` for deep content analysis
3. Determine style (use `--style` or auto-select from signals)
4. Detect languages (source vs. user preference)
5. Plan slide count (`--slides` or dynamic)
### Step 2: Generate Outline with Style Instructions
### Step 2: Generate Outline Variants
Create outline with structured STYLE_INSTRUCTIONS block:
1. Generate 3 style variant outlines based on content analysis
2. Follow `references/outline-template.md` for structure
3. Save as `outline-{style}.md` for each variant
```markdown
# Slide Deck Outline
### Step 3: User Confirmation
**Topic**: [topic description]
**Style**: [selected style]
**Audience**: [target audience]
**Language**: [output language]
**Slide Count**: N slides
**Generated**: YYYY-MM-DD HH:mm
**Single AskUserQuestion with all applicable options:**
---
| Question | When to Ask |
|----------|-------------|
| Style variant | Always (3 options + custom) |
| Language | Only if source ≠ user language |
<STYLE_INSTRUCTIONS>
Design Aesthetic: [2-3 sentence description from style file]
After selection:
- Copy selected `outline-{style}.md` to `outline.md`
- Regenerate in different language if requested
- User may edit `outline.md` for fine-tuning
Background:
Color: [Name] ([Hex])
Texture: [description]
Typography:
Primary Font: [detailed description for image generation]
Secondary Font: [detailed description for image generation]
Color Palette:
Primary Text: [Name] ([Hex]) - [usage]
Background: [Name] ([Hex]) - [usage]
Accent 1: [Name] ([Hex]) - [usage]
Accent 2: [Name] ([Hex]) - [usage]
Visual Elements:
- [element 1 with rendering guidance]
- [element 2 with rendering guidance]
- ...
Style Rules:
Do: [guidelines from style file]
Don't: [anti-patterns from style file]
</STYLE_INSTRUCTIONS>
---
## Slide 1 of N
**Type**: Cover
**Filename**: 01-slide-cover.png
// NARRATIVE GOAL
[What this slide achieves in the story arc]
// KEY CONTENT
Headline: [main title]
Sub-headline: [supporting tagline]
// VISUAL
[Detailed visual description - specific elements, composition, mood]
// LAYOUT
[Composition, hierarchy, spatial arrangement]
---
## Slide 2 of N
**Type**: Content
**Filename**: 02-slide-{slug}.png
// NARRATIVE GOAL
[What this slide achieves in the story arc]
// KEY CONTENT
Headline: [main message - narrative, not label]
Sub-headline: [supporting context]
Body:
- [point 1 with specific detail]
- [point 2 with specific detail]
- [point 3 with specific detail]
// VISUAL
[Detailed visual description]
// LAYOUT
[Composition, hierarchy, spatial arrangement]
---
...
## Slide N of N
**Type**: Back Cover
**Filename**: {NN}-slide-back-cover.png
// NARRATIVE GOAL
[Meaningful closing - not just "thank you"]
// KEY CONTENT
Headline: [memorable closing statement or call-to-action]
Body: [optional summary points or next steps]
// VISUAL
[Visual that reinforces the core message]
// LAYOUT
[Clean, impactful composition]
```
### Step 3: Save Outline
Save outline as `outline.md` in the output directory.
If `--outline-only` is specified, stop here.
If `--outline-only`, stop here.
### Step 4: Generate Prompts
Create prompt file per slide in `prompts/` directory:
1. Read `references/base-prompt.md`
2. Combine with style-specific instructions from outline
3. Add slide-specific content from outline
4. Save as `01-slide-cover.md`, `02-slide-{slug}.md`, etc.
2. Combine with style instructions from outline
3. Add slide-specific content
4. Save to `prompts/` directory
### Step 5: Generate Images
**Image Generation Skill Selection**:
1. Check available image generation skills
2. If multiple skills available, ask user to choose
**Session Management**:
If the image generation skill supports `--sessionId`:
1. Generate a unique session ID at the start (e.g., `slides-{topic-slug}-{timestamp}`)
2. Use the same session ID for all slides in the series
3. This ensures style consistency across all generated slides
**Generation Flow**:
1. Call selected image generation skill with prompt file, output path, and session ID
2. Confirm generation success
3. Report progress: "Generated X/N"
4. Continue to next
1. Select available image generation skill
2. Generate session ID: `slides-{topic-slug}-{timestamp}`
3. Generate each slide with same session ID
4. Report progress: "Generated X/N"
### Step 6: Merge to PPTX and PDF
After all images are generated, merge them into PowerPoint and PDF files:
```bash
npx -y bun ${SKILL_DIR}/scripts/merge-to-pptx.ts <slide-deck-dir>
npx -y bun ${SKILL_DIR}/scripts/merge-to-pdf.ts <slide-deck-dir>
```
This creates:
- `{topic-slug}.pptx` - PowerPoint with all images as full-bleed 16:9 slides and prompt content as speaker notes
- `{topic-slug}.pdf` - PDF with all images as full-page slides
### Step 7: Output Summary
```
@@ -321,13 +169,11 @@ Slide Deck Complete!
Topic: [topic]
Style: [style name]
Audience: [audience type]
Location: [directory path]
Slides: N total
- 01-slide-cover.png ✓ Cover
- 02-slide-intro.png ✓ Content
- 03-slide-main-point.png ✓ Content
- ...
- {NN}-slide-back-cover.png ✓ Back Cover
@@ -336,62 +182,28 @@ PPTX: {topic-slug}.pptx
PDF: {topic-slug}.pdf
```
## Content Rules
## Slide Modification
1. **Respect reader attention** -
2. **Data traceability** - All statistics must include source attribution
3. **Self-contained prompts** - Every detail in the image prompt, no external references
4. **No placeholders** - Every element must be fully specified
See `references/modification-guide.md` for:
- Edit single slide workflow
- Add new slide (with renumbering)
- Delete slide (with renumbering)
- File naming conventions
## Style Rules
## References
1. **Narrative headlines** - Headlines tell the story, not label the content
- Bad: "Key Statistics"
- Good: "Usage doubled in 6 months"
2. **Avoid AI clichés** - No "dive into", "explore", "journey", "let's"
3. **Meaningful back cover** - Not just "Thank you"
- Include call-to-action, key takeaway, or memorable closing
4. **Consistent visual language** - Same icons, colors, layouts throughout
## Slide Structure
1. **Cover (Slide 1)**: Title, visual hook, topic introduction
2. **Content (Middle)**: Key points, data, explanations - dynamic count based on content
3. **Back Cover (Final)**: Summary, call-to-action, or memorable closing
## Key Specifications
- **Aspect Ratio**: 16:9 (landscape)
- **Slide Count**: Dynamic based on content
- **Required Slides**: Cover + Back Cover minimum
- **No slide numbers, footers, or logos**
- **Language**: Priority order: `--lang` option → source material language → ask user if uncertain
- **Tone**: Direct, confident language (avoid AI-sounding phrases)
## Style Reference Details
| Style | Description |
|-------|-------------|
| `sketch-notes` | Hand-drawn feel, soft brush strokes, warm off-white background, conceptual icons |
| `blueprint` | Technical schematics, grid texture, precise lines, engineering blue tones |
| `bold-editorial` | High contrast, bold typography, dark backgrounds, magazine-level impact |
| `vector-illustration` | Flat vector, black outlines, retro colors, toy model aesthetic |
| `minimal` | Maximum whitespace, single accent color, clean sans-serif, zen-like |
| `storytelling` | Full-bleed imagery, cinematic compositions, emotional photography |
| `warm` | Soft gradients, rounded shapes, wellness palette, approachable |
| `notion` | Dashboard aesthetic, clean data viz, SaaS-inspired, productivity focus |
| `corporate` | Navy/gold palette, structured layouts, professional iconography, business polish |
| `playful` | Vibrant coral/teal/yellow, rounded shapes, dynamic layouts, energetic |
Full style specifications: `references/styles/<style>.md`
| File | Content |
|------|---------|
| `references/analysis-framework.md` | Deep content analysis for presentations |
| `references/outline-template.md` | Outline structure and STYLE_INSTRUCTIONS format |
| `references/modification-guide.md` | Edit, add, delete slide workflows |
| `references/content-rules.md` | Content and style guidelines |
| `references/base-prompt.md` | Base prompt for image generation |
| `references/styles/<style>.md` | Full style specifications |
## Notes
- Image generation typically takes 10-30 seconds per slide
- Image generation: 10-30 seconds per slide
- Auto-retry once on generation failure
- Use stylized alternatives for sensitive public figures
- Output language matches input content language (or `--lang`)
- Maintain style consistency across all slides in deck
- Maintain style consistency via session ID
@@ -0,0 +1,161 @@
# Presentation Analysis Framework
Deep content analysis for effective slide deck creation.
## 1. Message Hierarchy
Identify the core message structure before designing slides.
### Core Message (One Sentence)
- What is the single most important takeaway?
- If the audience remembers only one thing, what should it be?
- Can you state it in ≤15 words?
### Supporting Points (3-5 Maximum)
- What evidence supports the core message?
- What sub-topics must be covered?
- Prioritize by audience relevance, not source order
### Call-to-Action
- What should the audience DO after viewing?
- Is it clear, specific, and achievable?
- Where does it appear (slide position)?
## 2. Audience Decision Matrix
| Question | Analysis |
|----------|----------|
| Who is the primary audience? | [Role, expertise level, relationship to topic] |
| What do they currently believe? | [Existing knowledge, assumptions, biases] |
| What decision do we want them to make? | [Specific action or conclusion] |
| What barriers exist? | [Objections, concerns, missing information] |
| What evidence will convince them? | [Data types, credibility sources, emotional hooks] |
### Audience Adaptation
| Audience Type | Content Focus | Visual Treatment |
|---------------|---------------|------------------|
| Executives | Outcomes, ROI, strategic impact | High-level, clean, data highlights |
| Technical | Architecture, implementation, specs | Detailed diagrams, code, schematics |
| General | Benefits, stories, relatability | Visual metaphors, simple charts |
| Investors | Market size, traction, team | Growth charts, milestones, comparisons |
| Learners | Step-by-step, examples, practice | Progressive reveals, exercises |
## 3. Visual Opportunity Map
Identify which content benefits from visualization.
### Content-to-Visual Mapping
| Content Type | Visual Treatment | Example |
|--------------|------------------|---------|
| Comparisons | Side-by-side, before/after | Feature comparison table |
| Processes | Flow diagrams, numbered steps | Workflow illustration |
| Hierarchies | Org charts, pyramids, trees | Organizational structure |
| Timelines | Horizontal/vertical timelines | Project milestones |
| Statistics | Charts, highlighted numbers | Key metrics with context |
| Concepts | Icons, metaphors, illustrations | Abstract idea visualization |
| Relationships | Venn diagrams, networks | Ecosystem or dependencies |
| Lists | Structured grids, icon rows | Feature bullets with icons |
### Visual Priority
Rate each piece of content:
- **Must Visualize**: Complex data, key differentiators, memorable moments
- **Should Visualize**: Supporting evidence, secondary points
- **Text Only**: Simple statements, transitions, minor details
## 4. Presentation Flow
Structure for impact and retention.
### Opening (First 2-3 Slides)
| Element | Purpose |
|---------|---------|
| Hook | Capture attention (surprising stat, question, story) |
| Context | Why this matters now |
| Preview | What audience will learn/gain |
### Middle (Content Slides)
| Pattern | When to Use |
|---------|-------------|
| Problem → Solution | Introducing new products/ideas |
| Situation → Complication → Resolution | Complex business cases |
| What → Why → How | Educational content |
| Past → Present → Future | Transformation stories |
| Claim → Evidence → Implication | Data-driven arguments |
### Closing (Final 2-3 Slides)
| Element | Purpose |
|---------|---------|
| Synthesis | Tie back to core message |
| Call-to-Action | Clear next steps |
| Memorable Close | Resonant quote, image, or statement |
### Transitions
- Each slide should answer: "What comes next?"
- Use narrative connectors between sections
- Build logical progression, not topic jumps
## 5. Content Adaptation
Decide what to keep, transform, or omit.
### Keep (High Value)
- Core arguments and evidence
- Unique insights or data
- Audience-relevant examples
- Memorable quotes or statistics
### Simplify (Medium Value)
- Technical details → Visual summaries
- Long explanations → Bullet hierarchies
- Multiple examples → Best 1-2 examples
- Background context → Brief framing
### Visualize (Transform)
- Data tables → Charts or highlighted numbers
- Process descriptions → Flow diagrams
- Comparisons in text → Side-by-side visuals
- Abstract concepts → Concrete metaphors
### Omit (Low Value)
- Tangential information
- Redundant examples
- Excessive caveats
- Background the audience already knows
## 6. Analysis Checklist
Before outline creation, confirm:
### Message Clarity
- [ ] Core message stated in one sentence
- [ ] 3-5 supporting points identified
- [ ] Call-to-action defined
### Audience Fit
- [ ] Primary audience identified
- [ ] Existing beliefs mapped
- [ ] Desired decision clear
- [ ] Evidence matches audience needs
### Visual Planning
- [ ] Key visualizations identified
- [ ] Chart/diagram types selected
- [ ] Visual priority assigned
### Flow Design
- [ ] Opening hook defined
- [ ] Middle pattern selected
- [ ] Closing approach planned
- [ ] Transitions considered
### Content Decisions
- [ ] Keep/simplify/visualize/omit applied
- [ ] Source material fully processed
- [ ] No important content overlooked
@@ -0,0 +1,95 @@
# Content & Style Rules
Guidelines for slide deck content quality and style consistency.
## Content Rules
### 1. Respect Reader Attention
- Each slide should communicate ONE main idea
- Remove redundant information
- Prioritize clarity over comprehensiveness
### 2. Data Traceability
- All statistics must include source attribution
- Cite sources directly on slides with data
- Use specific numbers over vague claims
### 3. Self-Contained Prompts
- Every detail must be in the image prompt
- No external references (e.g., "like slide 2")
- Include all colors, layouts, and content explicitly
### 4. No Placeholders
- Every element must be fully specified
- No "[insert data here]" or "TBD"
- All text content finalized before generation
## Style Rules
### 1. Narrative Headlines
Headlines tell the story, not label the content.
| Bad | Good |
|-----|------|
| "Key Statistics" | "Usage doubled in 6 months" |
| "Our Solution" | "One platform replaces five tools" |
| "Benefits" | "Teams save 10 hours weekly" |
### 2. Avoid AI Clichés
Remove these patterns:
- "Dive into", "explore", "journey"
- "Let's look at", "let me show you"
- "Exciting", "amazing", "revolutionary"
- "In conclusion", "to summarize"
### 3. Meaningful Back Cover
Not just "Thank you" or "Questions?"
Include one of:
- Clear call-to-action
- Memorable key takeaway
- Thought-provoking closing statement
- Contact information with purpose
### 4. Consistent Visual Language
Throughout the deck:
- Same icon style
- Same color usage patterns
- Same layout grid system
- Same typography hierarchy
## Slide Structure
| Position | Type | Purpose |
|----------|------|---------|
| 1 | Cover | Title, visual hook, topic introduction |
| 2 to N-1 | Content | Key points, data, explanations |
| N | Back Cover | Summary, call-to-action, memorable close |
## Key Specifications
| Specification | Value |
|---------------|-------|
| Aspect Ratio | 16:9 (landscape) |
| Slide Count | Dynamic based on content |
| Required Slides | Cover + Back Cover minimum |
| Footers | None (no slide numbers, logos) |
| Language Priority | `--lang` → source language → ask user |
| Tone | Direct, confident (avoid AI phrases) |
## Style Quick Reference
| Style | Visual Summary |
|-------|----------------|
| `sketch-notes` | Hand-drawn, warm off-white, conceptual icons |
| `blueprint` | Technical schematics, grid texture, blue tones |
| `bold-editorial` | High contrast, dark backgrounds, magazine impact |
| `vector-illustration` | Flat vector, black outlines, retro colors |
| `minimal` | Maximum whitespace, single accent, zen-like |
| `storytelling` | Full-bleed imagery, cinematic, emotional |
| `warm` | Soft gradients, rounded shapes, wellness palette |
| `notion` | Dashboard aesthetic, clean data viz, SaaS-inspired |
| `corporate` | Navy/gold, structured layouts, business polish |
| `playful` | Vibrant coral/teal/yellow, dynamic, energetic |
Full style specifications: `references/styles/<style>.md`
@@ -0,0 +1,85 @@
# Slide Modification Guide
Workflows for modifying individual slides after initial generation.
## Edit Single Slide
Regenerate a specific slide with modified content:
1. Identify slide to edit (e.g., `03-slide-key-findings.png`)
2. Update prompt in `prompts/03-slide-key-findings.md`
3. If content changes significantly, update slug in filename
4. Regenerate image using same session ID
5. Regenerate PPTX and PDF
## Add New Slide
Insert a new slide at specified position:
1. Specify insertion position (e.g., after slide 3)
2. Create new prompt with appropriate slug (e.g., `04-slide-new-section.md`)
3. Generate new slide image
4. **Renumber files**: All subsequent slides increment NN by 1
- `04-slide-conclusion.png``05-slide-conclusion.png`
- Slugs remain unchanged
5. Update `outline.md` with new slide entry
6. Regenerate PPTX and PDF
## Delete Slide
Remove a slide and renumber:
1. Identify slide to delete (e.g., `03-slide-key-findings.png`)
2. Remove image file and prompt file
3. **Renumber files**: All subsequent slides decrement NN by 1
- `04-slide-conclusion.png``03-slide-conclusion.png`
- Slugs remain unchanged
4. Update `outline.md` to remove slide entry
5. Regenerate PPTX and PDF
## File Naming Convention
Files use meaningful slugs for better readability:
```
NN-slide-[slug].png
NN-slide-[slug].md (in prompts/)
```
Examples:
- `01-slide-cover.png`
- `02-slide-problem-statement.png`
- `03-slide-key-findings.png`
- `04-slide-back-cover.png`
## Slug Rules
| Rule | Description |
|------|-------------|
| Format | Kebab-case (lowercase, hyphens) |
| Source | Derived from slide title/content |
| Uniqueness | Must be unique within the deck |
| Updates | Change slug when content changes significantly |
## Renumbering Rules
| Scenario | Action |
|----------|--------|
| Add slide | Increment NN for all subsequent slides |
| Delete slide | Decrement NN for all subsequent slides |
| Reorder slides | Update NN to match new positions |
| Edit slide | NN unchanged, update slug if needed |
**Important**: Slugs remain unchanged during renumbering. Only the NN prefix changes.
## Post-Modification Checklist
After any modification:
- [ ] Image file renamed/created correctly
- [ ] Prompt file renamed/created correctly
- [ ] Subsequent files renumbered (if add/delete)
- [ ] `outline.md` updated to reflect changes
- [ ] PPTX regenerated
- [ ] PDF regenerated
- [ ] Slide count in outline header updated
@@ -0,0 +1,164 @@
# Outline Template
Standard structure for slide deck outlines with style instructions.
## Outline Format
```markdown
# Slide Deck Outline
**Topic**: [topic description]
**Style**: [selected style]
**Audience**: [target audience]
**Language**: [output language]
**Slide Count**: N slides
**Generated**: YYYY-MM-DD HH:mm
---
<STYLE_INSTRUCTIONS>
Design Aesthetic: [2-3 sentence description from style file]
Background:
Color: [Name] ([Hex])
Texture: [description]
Typography:
Primary Font: [detailed description for image generation]
Secondary Font: [detailed description for image generation]
Color Palette:
Primary Text: [Name] ([Hex]) - [usage]
Background: [Name] ([Hex]) - [usage]
Accent 1: [Name] ([Hex]) - [usage]
Accent 2: [Name] ([Hex]) - [usage]
Visual Elements:
- [element 1 with rendering guidance]
- [element 2 with rendering guidance]
- ...
Style Rules:
Do: [guidelines from style file]
Don't: [anti-patterns from style file]
</STYLE_INSTRUCTIONS>
---
[Slide entries follow...]
```
## Cover Slide Template
```markdown
## Slide 1 of N
**Type**: Cover
**Filename**: 01-slide-cover.png
// NARRATIVE GOAL
[What this slide achieves in the story arc]
// KEY CONTENT
Headline: [main title]
Sub-headline: [supporting tagline]
// VISUAL
[Detailed visual description - specific elements, composition, mood]
// LAYOUT
[Composition, hierarchy, spatial arrangement]
```
## Content Slide Template
```markdown
## Slide X of N
**Type**: Content
**Filename**: {NN}-slide-{slug}.png
// NARRATIVE GOAL
[What this slide achieves in the story arc]
// KEY CONTENT
Headline: [main message - narrative, not label]
Sub-headline: [supporting context]
Body:
- [point 1 with specific detail]
- [point 2 with specific detail]
- [point 3 with specific detail]
// VISUAL
[Detailed visual description]
// LAYOUT
[Composition, hierarchy, spatial arrangement]
```
## Back Cover Slide Template
```markdown
## Slide N of N
**Type**: Back Cover
**Filename**: {NN}-slide-back-cover.png
// NARRATIVE GOAL
[Meaningful closing - not just "thank you"]
// KEY CONTENT
Headline: [memorable closing statement or call-to-action]
Body: [optional summary points or next steps]
// VISUAL
[Visual that reinforces the core message]
// LAYOUT
[Clean, impactful composition]
```
## STYLE_INSTRUCTIONS Block
The `<STYLE_INSTRUCTIONS>` block contains all style-specific guidance for image generation:
| Section | Content |
|---------|---------|
| Design Aesthetic | Overall visual direction from style file |
| Background | Base color and texture details |
| Typography | Font descriptions for Gemini (no font names, describe appearance) |
| Color Palette | Named colors with hex codes and usage guidance |
| Visual Elements | Specific graphic elements with rendering instructions |
| Style Rules | Do/Don't guidelines from style file |
**Important**: Typography descriptions must describe the visual appearance (e.g., "rounded sans-serif", "bold geometric") since image generators cannot use font names.
## Section Dividers
Use `---` (horizontal rule) between:
- Header metadata and STYLE_INSTRUCTIONS
- STYLE_INSTRUCTIONS and first slide
- Each slide entry
## Slide Numbering
- Cover is always Slide 1
- Content slides use sequential numbers
- Back Cover is always final slide (N)
- Filename prefix matches slide position: `01-`, `02-`, etc.
## Filename Slugs
Generate meaningful slugs from slide content:
| Slide Type | Slug Pattern | Example |
|------------|--------------|---------|
| Cover | `cover` | `01-slide-cover.png` |
| Content | `{topic-slug}` | `02-slide-problem-statement.png` |
| Back Cover | `back-cover` | `10-slide-back-cover.png` |
Slug rules:
- Kebab-case (lowercase, hyphens)
- Derived from headline or main topic
- Maximum 30 characters
- Unique within deck
+69 -8
View File
@@ -132,7 +132,7 @@ posts/ai-future/
└── 03-ending.png
```
### Without Article Path
### Without Article Path (Pasted Content)
Save to `xhs-outputs/YYYY-MM-DD/[topic-slug]/`:
@@ -140,6 +140,7 @@ Save to `xhs-outputs/YYYY-MM-DD/[topic-slug]/`:
xhs-outputs/
└── 2026-01-13/
└── ai-agent-guide/
├── source.md # Saved pasted content
├── outline.md
├── prompts/
│ ├── 01-cover.md
@@ -152,10 +153,17 @@ xhs-outputs/
### Step 1: Analyze Content & Select Style/Layout
1. Read content
2. If `--style` specified, use that style; otherwise auto-select
3. If `--layout` specified, use that layout; otherwise auto-select per image
4. Determine image count based on content complexity:
1. **Save source content** (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to `source.md` in target directory
2. Read content
3. If `--style` specified, use that style; otherwise auto-select 3 candidates
4. If `--layout` specified, use that layout; otherwise auto-select per image
5. **Language detection**:
- Detect **source language** from content
- Detect **user language** from conversation context
- Note if source_language ≠ user_language (will ask in Step 4)
6. Determine image count based on content complexity:
| Content Type | Image Count |
|-------------|-------------|
@@ -216,7 +224,57 @@ Plan for each image with style and layout specifications:
Save outline as `outline.md`.
### Step 4: Generate Images One by One
### Step 4: Review & Confirm
**Purpose**: Let user confirm all options in a single step before image generation.
**IMPORTANT**: Present ALL options in a single confirmation step using AskUserQuestion. Do NOT interrupt workflow with multiple separate confirmations.
1. **Generate 3 style variants** (if style not specified):
- Analyze content to select 3 most suitable styles
- Generate complete outline for each style variant
- Save as `outline-{style}.md` (e.g., `outline-cute.md`, `outline-notion.md`, `outline-tech.md`)
2. **Determine which questions to ask**:
| Question | When to Ask |
|----------|-------------|
| Style variant | Always (required) |
| Default layout | Always (offer common options) |
| Language | Only if `source_language ≠ user_language` |
3. **Present options** (use AskUserQuestion with all applicable questions):
**Question 1 (Style)** - always:
- Style A (recommended): [style name] - [brief description]
- Style B: [style name] - [brief description]
- Style C: [style name] - [brief description]
- Custom: Provide custom style reference
**Question 2 (Layout)** - always:
- sparse (Recommended for cover) - minimal info, maximum impact
- balanced - standard 3-4 points
- dense - high info density, knowledge cards
- list / comparison / flow - special formats
**Question 3 (Language)** - only if source ≠ user language:
- [Source language] (matches content)
- [User language] (your preference)
**Language handling**:
- If source language = user language: Just inform user (e.g., "Images will be in Chinese")
- If different: Ask which language to use
4. **Apply selection**:
- Copy selected `outline-{style}.md` to `outline.md`
- If custom style provided, generate new outline with that style
- If different language selected, regenerate outline in that language
- User may edit `outline.md` directly for fine-tuning
- If modified, reload outline before proceeding
5. **Proceed only after explicit user confirmation**
### Step 5: Generate Images One by One
For each image, create a prompt file with style and layout specifications.
@@ -273,7 +331,9 @@ If the image generation skill supports `--sessionId`:
3. Report progress: "Generated X/N"
4. Continue to next
### Step 5: Completion Report
**All prompts are written in the user's confirmed language preference.**
### Step 6: Completion Report
```
Xiaohongshu Infographic Series Complete!
@@ -319,5 +379,6 @@ Outline: outline.md
- Image generation typically takes 10-30 seconds per image
- Auto-retry once on generation failure
- Use cartoon alternatives for sensitive public figures
- Output language matches input content language
- Prompts written in user's confirmed language preference
- Text on images uses confirmed language
- Maintain selected style consistency across all images in series